| 基于乏信息系统的本征融合技术 |
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| 引用本文： | 王雅红,夏新涛,王中宇.基于乏信息系统的本征融合技术[J].航空动力学报,2008,23(8):1432-1437. |
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| 作者姓名： | 王雅红 夏新涛 王中宇 |
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| 作者单位： | 1. 洛阳理工学院,机电工程系,洛阳,471023
2. 北京航空航天大学,仪器科学与光电工程学院,北京,100191 |
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| 摘 要： | 提出基于乏信息系统的本征融合技术以模拟小样本条件下的未知分布.采用隶属函数法、最大隶属度法、自助法、灰自助法、算术平均值法和最大熵法等多种数学思想,从不同侧面分析各个个体的特征信息并进行融合,推断出总体的概率分布.滚动轴承噪声的试验研究表明,本征融合技术可以有效地模拟乏信息系统的概率分布.
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| 关 键 词： | 滚动轴承 噪声 概率分布 小样本 |
| 收稿时间： | 11/9/2007 4:58:13 PM |
| 修稿时间： | 5/16/2008 5:20:53 PM |
Eigen-fusion technique based on information poor system |
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| WANG Ya-hong,XIA Xin-tao and WANG Zhong-yu.Eigen-fusion technique based on information poor system[J].Journal of Aerospace Power,2008,23(8):1432-1437. |
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| Authors: | WANG Ya-hong XIA Xin-tao and WANG Zhong-yu |
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| Institution: | College of Mechatronical Engineering, Luoyang Institute of Science and Technology,Henan University of Science and Technology,College of Instrumental Science and Opto-Electronics Engineering, Beijing University of Aeronautics and Astronautics |
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| Abstract: | The eigen-fusion technique based on the information poor system was proposed to simulate an unknown distribution under the condition of small sample.Analyzing and fusing the characteristic information of every individual from different view sides,the probability distribution of a population was inferred,by using multifold mathematical ideas such as membership function,maximum membership grade,bootstrap,grey bootstrap,arithmetic mean,and maximum entropy.The experiment on rolling bearing noise shows that the eigen-fusion technique can effectively simulate the probability distribution of the information poor system. |
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| Keywords: | rolling bearing noise probability distribution small sample |
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